Increasing Cell Sorting Recovery Using the Simple “Three-Puddle Method”

IF 2.1 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS
María José Castro Pérez, Carl Henderson
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Abstract

Recovery is a key performance parameter in cell sorters, a metric that assesses the match between the number of particles reported as sorted by the instrument and the actual number of particles gathered in the collection vessels. Sorting relies on the precise timing of the charging of a droplet containing the particle of interest in a critical measurement called drop delay (DD). DD timings are typically reliant on manufacturer recommended fluorescent bead reagents. Cuvette-based cell sorters in particular depend upon these fixed-sized QC beads for an automated approach to the DD calculation using an image-based camera system. Previous literature has highlighted the mismatch between these DD values and the settings best accommodating actual samples. Here, we present a new method for DD calculation—the Three-Puddle Method (3PM), based on procedures originally described for jet-in-air cell sorters; it optimizes DD values according to the target particle to be sorted, increasing sort recoveries for a range of cell sizes and particle types. With regard to recovery, 3PM-calculated DD values correlate with those achieved via optimum DD, defined using Rmax protocol, a robust metric for recovery. The advantages of the 3PM then are that it is a simple-to-implement protocol which has limited cell expenditure, essential in the handling of precious rare samples and the success of single cell and bulk sorting and the downstream applications relying on it.

Abstract Image

利用简单的“三坑法”提高细胞分选回收率。
回收率是细胞分选机的一个关键性能参数,是评估仪器报告的分选颗粒数量与收集容器中收集的实际颗粒数量之间的匹配度的指标。分选依赖于包含感兴趣粒子的液滴在一种称为液滴延迟(DD)的关键测量中充电的精确时间。DD时间通常依赖于制造商推荐的荧光珠试剂。基于试管的细胞分选器特别依赖于这些固定大小的QC珠,使用基于图像的相机系统自动计算DD。以前的文献强调了这些DD值与最适合实际样本的设置之间的不匹配。在这里,我们提出了一种新的DD计算方法——三水坑法(3PM),基于最初描述的喷气空气细胞分选程序;它根据要排序的目标颗粒优化DD值,增加了一系列细胞大小和颗粒类型的排序回收率。关于恢复,3pm计算的DD值与通过使用Rmax协议定义的最佳DD获得的DD值相关,Rmax协议是恢复的一个健壮度量。3PM的优点是它是一个简单实现的协议,具有有限的细胞支出,在处理珍贵的稀有样品和单个细胞和批量分选的成功以及依赖于它的下游应用程序中至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cytometry Part A
Cytometry Part A 生物-生化研究方法
CiteScore
8.10
自引率
13.50%
发文量
183
审稿时长
4-8 weeks
期刊介绍: Cytometry Part A, the journal of quantitative single-cell analysis, features original research reports and reviews of innovative scientific studies employing quantitative single-cell measurement, separation, manipulation, and modeling techniques, as well as original articles on mechanisms of molecular and cellular functions obtained by cytometry techniques. The journal welcomes submissions from multiple research fields that fully embrace the study of the cytome: Biomedical Instrumentation Engineering Biophotonics Bioinformatics Cell Biology Computational Biology Data Science Immunology Parasitology Microbiology Neuroscience Cancer Stem Cells Tissue Regeneration.
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